Seoul, South Korea

Kyung Hee University

Kyung Hee University is listed as QS 2026 rank =331. Kyung Hee University has 4 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Kyung Hee University is listed as QS 2026 rank =331. Kyung Hee University has 4 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Kyung Hee University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/kyung-hee-university.json. The entity-level confidence is 96%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage4 reviewedSource languagekoPublic JSON/api/public/v1/universities/kyung-hee-university.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes AI tool treatment claims.
  • Named AI services detected in public claims: ChatGPT.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources2

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence81%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

Privacy and data entry

Kyung Hee University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence1Sources1

Academic integrity

Kyung Hee University has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence81%Evidence1Sources1

Approved tools

Kyung Hee University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence79%Evidence1Sources1

Research guidance

Kyung Hee University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence1Sources1

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

4 reviewed evidence-backed public claim

Privacy

Kyung Hee's ChatKHU guide instructs members not to enter or upload personal information, unpublished important data, research data, evaluation materials, or confidential university documents into ChatKHU or external AI tools.

Review: Agent reviewedConfidence96%

Normalized value: no_personal_or_confidential_information_in_chatkhu_or_external_ai_tools

Original evidence

Evidence 1
ChatKHU(챗쿠)를 포함한 외부 AI 도구에 개인정보(이름, 학번, 연락처 등), 미공개 중요 데이터(연구 데이터, 평가 자료, 대학 기밀 문서 등)를 절대로 입력하거나 업로드하지 않습니다.

Localized display only

Members must not enter or upload personal information, unpublished important data, research data, evaluation materials, or confidential university documents into ChatKHU or external AI tools.

Academic Integrity

Kyung Hee's ChatGPT guideline says students should follow instructor guidance and recognize that undisclosed or direct submission of ChatGPT output can constitute misconduct.

Review: Agent reviewedConfidence95%

Normalized value: students_follow_instructor_guidance_and_disclose_chatgpt_use

Original evidence

Evidence 1
ChatGPT 사용에 대한 출처를 표기하지 않거나, 과제나 수업 활동 관련하여 ChatGPT 산출 결과물을 그대로 제출하는 등 부적절한 사용은 부정행위에 해당될 수 있음을 숙지한다.

Localized display only

Students should recognize that not citing ChatGPT use or directly submitting ChatGPT output for assignments or class activities can constitute misconduct.

Teaching

Kyung Hee's ChatGPT guideline tells instructors to decide ChatGPT use standards for a course and state the applicable guidance in the syllabus.

Review: Agent reviewedConfidence94%

Normalized value: instructors_decide_and_state_chatgpt_course_use_standards

Original evidence

Evidence 1
ChatGPT 활용 방법을 이해하고 수업 목적과 목표에 따라 ChatGPT 활용 기준(사용금지 혹은 사용가능 등)을 결정하고, 수업에 적용되는 ChatGPT 활용에 대한 지침을 강의계획서에 명시한다.

Localized display only

Instructors decide whether ChatGPT is prohibited or allowed for the course and state the applicable guidance in the syllabus.

Ai Tool Treatment

Kyung Hee's ChatKHU usage guide describes ChatKHU as a university-only generative AI platform available to currently enrolled or employed members, with monthly credits for students, faculty, and staff.

Review: Agent reviewedConfidence93%

Normalized value: chatkhu_university_ai_platform_for_current_members_with_monthly_credits

Original evidence

Evidence 1
경희대학교에 재학 또는 재직 중인 모든 구성원 ※ 단, 졸업생, 휴학생, 수료생, 학점교류생, 졸업유예생은 제외 ... (학생) 2,000 크레딧, (교원, 직원) 5,000 크레딧

Localized display only

The guide says ChatKHU is for Kyung Hee members currently enrolled or employed, excluding alumni and some inactive statuses, with monthly credits for students, faculty, and staff.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

2 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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